Using semantic communication between robots—where they exchange meaningful descriptions rather than sensor data—enables better coordination on long-horizon tasks while keeping each robot's execution independent and reliable.
DuoMind is a framework that enables multiple robots to coordinate and work together on complex tasks by combining vision-language models for high-level reasoning with vision-language-action models for precise execution. Robots communicate through semantic messages rather than raw data, allowing them to share understanding of the task and environment while maintaining independent control.